IDEAS home Printed from https://ideas.repec.org/a/pal/gpprii/v47y2022i3d10.1057_s41288-022-00264-8.html
   My bibliography  Save this article

Framework for open insurance strategy: insights from a European study

Author

Listed:
  • Willem Standaert

    (HEC Liège – Management School of the University of Liège)

  • Steve Muylle

    (Vlerick Business School & Ghent University)

Abstract

While some consider open insurance to be a buzzword with more hype than substance, the underlying trend of open finance stimulates insurers to use digital technology to exchange data with third parties to realise process efficiencies and develop new products and channels. Based on a literature review and 30 interviews with industry experts in Europe, we define open insurance, identify its key drivers, and discuss the dimensions and performance impact of open insurance strategy. The combined insights can help executives develop a better understanding of open insurance and formulate an open insurance strategy that provides performance benefits to them, customers, and third parties.

Suggested Citation

  • Willem Standaert & Steve Muylle, 2022. "Framework for open insurance strategy: insights from a European study," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 643-668, July.
    • Handle: RePEc:pal:gpprii:v:47:y:2022:i:3:d:10.1057_s41288-022-00264-8
    DOI: 10.1057/s41288-022-00264-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41288-022-00264-8
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41288-022-00264-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Desyllas, Panos & Sako, Mari, 2013. "Profiting from business model innovation: Evidence from Pay-As-You-Drive auto insurance," Research Policy, Elsevier, vol. 42(1), pages 101-116.
    2. James R. Garven, 2002. "On the Implications of the Internet for Insurance Markets and Institutions," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 5(2), pages 105-116, September.
    3. Martin Eling & Martin Lehmann, 2018. "The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 359-396, July.
    4. Anton van Rossum, 2004. "Ethics, Governance, Trust and Customer Relations," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 29(1), pages 52-55, January.
    5. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    6. Anton van Rossum & Henri de Castries & Robert Mendelsohn, 2002. "The Debate on the Insurance Value Chain," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 27(1), pages 89-101, January.
    7. Key Pousttchi & Alexander Gleiss, 2019. "Surrounded by middlemen - how multi-sided platforms change the insurance industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 609-629, December.
    8. Simon Grima & Jonathan Spiteri & Inna Romānova, 2020. "A STEEP framework analysis of the key factors impacting the use of blockchain technology in the insurance industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 398-425, July.
    9. James J Schiro, 2006. "External Forces Impacting the Insurance Industry: Threats from Regulation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 31(1), pages 25-30, January.
    10. Jacob Dexe & Ulrik Franke & Alexander Rad, 2021. "Transparency and insurance professionals: a study of Swedish insurance practice attitudes and future development," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(4), pages 547-572, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cosma, Simona & Rimo, Giuseppe, 2024. "Redefining insurance through technology: Achievements and perspectives in Insurtech," Research in International Business and Finance, Elsevier, vol. 70(PA).
    2. Jorge Andrés-Sánchez & Jaume Gené-Albesa, 2024. "Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Albrecht Fritzsche & Alexander Bohnert, 2022. "Implications of bundled offerings for business development and competitive strategy in digital insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 817-834, October.
    2. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    3. Nemanja Milanović & Miloš Milosavljević & Slađana Benković & Dušan Starčević & Željko Spasenić, 2020. "An Acceptance Approach for Novel Technologies in Car Insurance," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
    4. Martin Eling & Davide Nuessle & Julian Staubli, 2022. "The impact of artificial intelligence along the insurance value chain and on the insurability of risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 205-241, April.
    5. Christian Eckert & Christof Neunsinger & Katrin Osterrieder, 2022. "Managing customer satisfaction: digital applications for insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 569-602, July.
    6. Antonella Cappiello, 2020. "The Digital (R)evolution of Insurance Business Models," American Journal of Economics and Business Administration, Science Publications, vol. 12(1), pages 1-13, January.
    7. Davide Lanfranchi & Laura Grassi, 2021. "Translating technological innovation into efficiency: the case of US public P&C insurance companies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 565-585, December.
    8. Simon Fritzsch & Philipp Scharner & Gregor Weiß, 2021. "Estimating the relation between digitalization and the market value of insurers," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(3), pages 529-567, September.
    9. Jie Liu & Shujun Ye & Yujin Zhang & Lulu Zhang, 2023. "Research on InsurTech and the Technology Innovation Level of Insurance Enterprises," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    10. Jacob Dexe & Ulrik Franke & Kasia Söderlund & Niels Berkel & Rikke Hagensby Jensen & Nea Lepinkäinen & Juho Vaiste, 2022. "Explaining automated decision-making: a multinational study of the GDPR right to meaningful information," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 669-697, July.
    11. Key Pousttchi & Alexander Gleiss, 2019. "Surrounded by middlemen - how multi-sided platforms change the insurance industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 609-629, December.
    12. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Alexander Bohnert & Albrecht Fritzsche & Shirley Gregor, 2019. "Digital agendas in the insurance industry: the importance of comprehensive approaches†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 1-19, January.
    14. Angela Zeier Röschmann & Matthias Erny & Joël Wagner, 2022. "On the (future) role of on-demand insurance: market landscape, business model and customer perception," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 603-642, July.
    15. Sánchez, Marisa A., 2022. "A multi-level perspective on financial technology transitions," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    16. Chen, Changdong, 2024. "How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability," Journal of Business Research, Elsevier, vol. 176(C).
    17. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    18. Miozzo, Marcela & Desyllas, Panos & Lee, Hsing-fen & Miles, Ian, 2016. "Innovation collaboration and appropriability by knowledge-intensive business services firms," Research Policy, Elsevier, vol. 45(7), pages 1337-1351.
    19. Nan Zhang & Heng Xu, 2024. "Fairness of Ratemaking for Catastrophe Insurance: Lessons from Machine Learning," Information Systems Research, INFORMS, vol. 35(2), pages 469-488, June.
    20. Baoliang Hu & Wei Huang & Shuai Yan & Guang Liu & Tao Zhang, 2020. "Business Model Design and Customer Loyalty: The Mediating Role of Customer Citizenship Behavior," Sustainability, MDPI, vol. 12(17), pages 1-14, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:gpprii:v:47:y:2022:i:3:d:10.1057_s41288-022-00264-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.